Responsibilities

• Find appropriate data sources based on business requirements
• Collect data from multiple sources and create aggregated databases
• Design and implement ETLs for transforming data
• Generate and extract data needed for decision making

Requirements

• Experienced in finding data sources and data collection
• Experience working in data science
• Familiarity with common data formats and databases
• Experience working with common programming languages and data science libraries such as Python
• Familiarity with one or more components of the research data life cycle: acquisition, storage, processing, and analysis
• Familiarity with OSINT is a big plus
• Experiences in web scrapping/web crawling is a plus

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